A Forensic Investigation of Terrorism in Nigeria: An Apriori Algorithm Approach
- 1 Department of Mathematics & Computer Science, BSU, Makurdi, Nigeria
- 2 Department of Mathematics & Computer Science, BSU, Makurdi, Nigeria
- 3 Department of Mathematics & Computer Science, BSU, Makurdi, Nigeria
- 4 Department of Mathematics & Computer Science, BSU, Makurdi, Nigeria
Abstract
Investigations towards studying terrorist activities have recently attracted a great amount of research interest. In this paper, we investigate the use of the Apriori algorithm on the Global Terrorism Database (GTD) for forensic investigation purposes. Recently, the Apriori algorithm, which could be considered a forensic tool , has been used to study terrorist activities and patterns across the world. As such, our motivation is to utilise the Apriori algorithm approach on the GTD to study terrorist activities and the areas/states in Nigeria with high frequencies of terrorist activities. We observe that the most preferred method of terrorist attacks in Nigeria is through armed assault. Again, our experiment shows that attacks in Nigeria are mostly successful. Also, we observe from our investigations that most terrorists in Nigeria are not suicidal. The main application of this work can be used by forensic experts to assist law enforcement agencies in decision making when handling terrorist attacks in Nigeria .
- Agu, Z. (2018) Terrorism in Nigeria: Causes and Effects. https://www.legit.ng/1210342-terrorism-nigeria-effects.html#:~:text=Terrorists%20in%20Nigeria%20create%20more%20unsafe%20places%2C%20that,tourism%20and%20reduces%20the%20rates%20of%20foreign%20investments
- Global Conflict Tracker (2021) Boko Haram in Nigeria. https://www.cfr.org/global-conflict-tracker/conflict/boko-haram-nigeria
- Adedire, S.A., Ake, M. and Olowojolu, O. (2016) Combating Terrorism and Insurgency in Nigeria: An International Collaborations against Boko Haram. Fountain University Journal of Management and Social Sciences, 5, 67-74.
- Varrella, S. (2021) Deaths Caused by Boko Haram in 2019, By State. https://www.statista.com/statistics/1197570/deaths-caused-by-boko-haram-in-nigeria/
- GOV.UK (2020) Foreign Travel Advice: Nigeria. https://www.gov.uk/foreign-travel-advice/nigeria/terrorism
- The Institute for Economics and Peace (IEP) (2020) Global Terrorism Index 2020: Measuring the Impact of Terrorism. Institute for Economics and Peace, New South Wales.
- Khalifa, N.E.M., Taha, M.H.N., Taha, S.H.N. and Hassanien, A.E. (2019) Statistical Insights and Association Mining for Terrorist Attacks in Egypt. International Conference on Advanced Machine Learning Technologies and Applications, Cairo, 28-30 March 2019, 291-300. https://doi.org/10.1007/978-3-030-14118-9_29
- Li, Z., Li, X., Tang, R. and Zhang, L. (2020) Apriori Algorithm for the Data Mining of Global Cyberspace Security Issues for Human Participatory Based on Association Rules. Frontiers in Psychology, 11, Article No. 582480. https://doi.org/10.3389/fpsyg.2020.582480
- Atsa’am, D.D., Wario, R. and Alola, U.V. (2021) Why Do Terrorists Attack Other Terrorists? Knowledge Discovery from the Global Terrorism Database. The International Journal of Intelligence, Security, and Public Affairs, 23, 125-138. https://doi.org/10.1080/23800992.2021.1953825
- Iorliam, A., Dugeri, R.U., Akumba, B.O. and Otor, S. (2021) An Investigation and Insight into Terrorism in Nigeria. arXiv: 2109.11023.
- Meuwly, D. and Veldhuis, R. (2012) Forensic Biometrics: From Two Communities to One Discipline. 2012 BIOSIG-Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG), Darmstadt, 6-7 September 2012, 1-12.
- Iorliam, A. (2018) Fundamental Computing Forensics for Africa: A Case Study of the Science in Nigeria. Springer, Cham. https://doi.org/10.1007/978-3-319-94499-9